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update sd training scripts

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Artiprocher
2026-04-24 14:30:09 +08:00
parent 5cdab9ed01
commit 3799bdc23a
23 changed files with 323 additions and 612 deletions
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20
examples/stable_diffusion_xl/model_training/validate_lora/StableDiffusionXL.py
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from diffsynth.pipelines.stable_diffusion_xl import StableDiffusionXLPipeline, ModelConfig
import torch
pipe = StableDiffusionXLPipeline.from_pretrained(
torch_dtype=torch.float32,
device="cuda",
model_configs=[
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder_2/model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="unet/diffusion_pytorch_model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer/"),
tokenizer_2_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer_2/"),
)
pipe.load_lora(pipe.unet, "./models/train/StableDiffusionXL_lora/epoch-4.safetensors")
prompt = "dog, white and brown dog, sitting on wall, under pink flowers"
image = pipe(prompt=prompt, seed=42, rand_device="cuda", num_inference_steps=50, cfg_scale=5.0)
image.save("image.jpg")

27
examples/stable_diffusion_xl/model_training/validate_lora/stable-diffusion-xl-base-1.0.py Normal file
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import torch
from diffsynth.core import ModelConfig
from diffsynth.pipelines.stable_diffusion_xl import StableDiffusionXLPipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
torch_dtype=torch.float32,
model_configs=[
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder_2/model.safetensors"),
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="unet/diffusion_pytorch_model.safetensors"),
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer/"),
tokenizer_2_config=ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer_2/"),
)
pipe.load_lora(pipe.unet, "models/train/stable-diffusion-xl-base-1.0_lora/epoch-4.safetensors")
image = pipe(
prompt="a dog",
negative_prompt="",
cfg_scale=7.0,
height=1024,
width=1024,
seed=42,
num_inference_steps=50,
)
image.save("image_stable-diffusion-xl-base-1.0.jpg")